Researchers say they’ve discovered a supply-chain attack flooding repositories with malicious packages that contain invisible code, a technique that’s flummoxing traditional defenses designed to ...

Detection In the pipeline, vehicle (car) detection takes a captured image as input and produces the bounding boxes as the output. We use TensorFlow Object Detection API, which is an open source ...

The North Korean state-sponsored hacker group Kimsuki is using malicious QR codes in spearphishing campaigns that target U.S. organizations, the Federal Bureau of Investigation warns in a flash alert.

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Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Big tech companies, from Meta to Microsoft, are using AI to write and review code. At Meta’s LlamaCon conference this week, CEO Mark Zuckerberg indicated that AI will take over half of the company’s ...

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...

I tried to run the object detection using tensorflow example on macOS and it did not compile. The compilation errors are because of conflicting usage of conditions in ...

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...